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Kornilov, Maksim Vyacheslavovich

Statistics Math-Net.Ru
Total publications: 8
Scientific articles: 8

Number of views:
This page:104
Abstract pages:907
Full texts:370
References:114
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https://www.mathnet.ru/eng/person104030
List of publications on Google Scholar
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Publications in Math-Net.Ru Citations
2024
1. M. V. Kornilov, A. A. Kapustnikov, E. A. Sozonov, M. V. Sysoeva, I. V. Sysoev, “Synchronization regimes in the ring of rodent hippocampal neurons at limbic epilepsy”, Izvestiya VUZ. Applied Nonlinear Dynamics, 32:3 (2024),  357–375  mathnet
2023
2. N. M. Egorov, M. V. Sysoeva, V. I. Ponomarenko, M. V. Kornilov, I. V. Sysoev, “Ring generator of neuron-like activity with tunable frequency”, Izvestiya VUZ. Applied Nonlinear Dynamics, 31:1 (2023),  103–120  mathnet 5
2022
3. M. V. Sysoeva, M. V. Kornilov, L. V. Takaishvili, V. V. Matrosov, I. V. Sysoev, “Reconstruction of integrated equations of periodically driven phase-locked loop system from scalar time series”, Izvestiya VUZ. Applied Nonlinear Dynamics, 30:4 (2022),  391–410  mathnet
2018
4. M. V. Kornilov, I. V. Sysoev, “Recovering the architecture of links in a chain of three unidirectionally coupled systems using the Granger-causality test”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:10 (2018),  86–95  mathnet  elib; Tech. Phys. Lett., 44:5 (2018), 445–449 4
2017
5. M. V. Kornilov, I. V. Sysoev, “Estimating the efficiency of the Granger causality method for detecting unidirectional coupling in the presence of common low frequency interference”, Nelin. Dinam., 13:3 (2017),  349–362  mathnet  elib
2015
6. V. A. Fedorenko, M. V. Kornilov, “Assessing similarities firing pin traces of firearms on their digital images”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 3,  92–100  mathnet
2014
7. M. V. Kornilov, I. V. Sysoev, “Investigating nonlinear Granger causality method efficiency at strong synchronization of systems”, Izvestiya VUZ. Applied Nonlinear Dynamics, 22:4 (2014),  66–76  mathnet
8. Maxim V. Kornilov, Ilya V. Sysoev, Boris P. Bezrychko, “Optimal selection of parameters of the forecasting models used for the nonlinear Granger causality method in application to the signals with a main time scales”, Nelin. Dinam., 10:3 (2014),  279–295  mathnet 5

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